Joydeep Biswas 7d2e4152ec Add support for dense CUDA solvers #2
1. Add CUDADenseQR & tests.
   CUDADenseQR uses the cuSolverDN LAPACK implementation
   of QR factorization. A key limitation, however, is that
   this solver does not perform singularity checking --
   this is because cuSolverDN does not have a trtrs
   implementation; we instead use cuBLAS' trsv for
   backsubstitution.
2. All CPU -> GPU memory transfers are now async, and both
   CUDADenseQR and CUDADenseCholesky explicitly manage their
   own streams for async operations.
3. Simplified CUDADenseCholesky to only use the legacy 32-bit
   cuSolverDN API.

Change-Id: I2a9b7b65469658ddfe33b5b2a3892c8744d6e437
2022-02-14 15:22:39 -06:00
2022-02-10 06:36:47 -08:00
2022-02-14 20:19:08 +01:00
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2022-02-14 20:19:08 +01:00
2022-02-10 06:36:47 -08:00
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2018-07-10 06:16:27 +00:00
2020-10-08 12:34:53 -07:00
2018-07-10 06:16:27 +00:00
2020-10-13 10:01:57 -07:00

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Ceres Solver

Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It is a feature rich, mature and performant library which has been used in production at Google since 2010. Ceres Solver can solve two kinds of problems.

  1. Non-linear Least Squares problems with bounds constraints.
  2. General unconstrained optimization problems.

Please see ceres-solver.org for more information.

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